Programming: Proficiency in Python, especially in the context of machine learning and data processing.

Machine Learning Frameworks: Expertise in TensorFlow, PyTorch, or Keras for designing, developing, and deploying machine learning models.

Natural Language Processing (NLP): Strong experience in NLP techniques and AI-driven content generation.

Familiarity with OpenAI's GPT models would be a plus.

Langchain Proficiency: Experience with Langchain for translations and integrating it with other systems.

Understanding of vector embeddings and their application in content recommendation and personalization.

Cloud Platforms: Knowledge of cloud platforms like AWS, Google Cloud, or Azure, especially in deploying and scaling ML models.

Optimization: Skills in optimizing ML algorithms for performance, scalability, and reliability.

Collaboration Tools: Familiarity with version control tools like Git and collaborative platforms like GitHub or GitLab.

Communication: Ability to articulate complex ML concepts and collaborate effectively with cross-functional teams.